aethercore-dev/relay-radar/relay-probe

Claude Code and agent skill by aethercore-dev/relay-radar

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探测AI中转站连接性、延迟和吞吐量。支持Anthropic原生API和OpenAI兼容格式。 发送多轮测试请求，统计TTFT、P50/P95延迟、吞吐量和错误率。 Use when: "测试中转站", "probe relay", "test api", "延迟测试", "中转站速度".

Install

npx vskill@latest install aethercore-dev/relay-radar/relay-probe

SKILL.md

/relay-probe — AI中转站探测

使用方法

探测中转站的连接质量，包括延迟、吞吐量、错误率。

快速探测（单个端点）
bash
# 直接测试一个中转站
curl -w "\nTTFB: %{time_starttransfer}s\nTotal: %{time_total}s\n" \
  -X POST "$RELAY_URL/v1/messages" \
  -H "Content-Type: application/json" \
  -H "x-api-key: $RELAY_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -d '{"model":"claude-sonnet-4","max_tokens":10,"messages":[{"role":"user","content":"hi"}]}'
多轮探测（使用relay-radar CLI）
bash
# 1. 初始化配置
npx relay-radar init
 
# 2. 编辑 relay-radar.json 添加中转站信息
 
# 3. 运行探测
npx relay-radar probe

工作流程

  1. 收集信息: 询问用户要测试的中转站URL和API Key
  2. 快速健康检查: 发送单个请求确认端点可用
  3. 多轮探测: 2轮预热 + 5轮正式测试
  4. 分析结果: 计算统计指标
  5. 输出报告: 表格形式展示结果

关键指标

指标优秀良好较差
TTFT<500ms500-2000ms>2000ms
P95延迟<3s3-10s>10s
吞吐量>30 tok/s15-30 tok/s<15 tok/s
错误率0%<5%>5%
流式支持✅-❌

注意事项

  • API Key 通过环境变量传递，不要硬编码
  • 如果是OpenAI兼容格式，URL应包含 /v1/chat/completions
  • 测试会消耗少量token（约500 tokens/轮）
  • 建议在不同时段多次测试以了解稳定性

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

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Quality evaluation

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Source

Popularity

Repository stars
61
Repository forks
13
7-day trend score
21

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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